gptk (version 1.07)

demGpCov2D: Gaussian Process 2D Covariance Demo

Description

Gives the joint distribution for f1 and f2, two values of a function sampled from a Gaussian process. The plots show the joint distributions as well as the conditional for f2 given f1.

Usage

demGpCov2D( ind=c(1,2), path = getwd(),
              filename = paste('demGpCov2D', ind[1],'_', ind[2], sep=''),
              png=FALSE, gif=FALSE )

Arguments

ind

indices of function values.

path

path where the plot images are saved.

filename

name of saved images.

png

save image as png.

gif

save series of images as animated gif.

See Also

demGpSample, basePlot, zeroAxes.